Abstract: A document editor user interface interacts with a user in receiving content from the user and provides suggestions determined via cognitive computing to the user while the user is authoring a document. A search engine searches for information associated with the content and returns the information. A matching candidate template that matches a style of the document being authored is searched for and may be inferred based on the document being authored. The suggestions may be provided based on definitions of the candidate template. A cognitive component may continuously detect behavior of the user while authoring the document and store information associated with the detected behavior. Additional suggestions may be provided based on the detected behavior.

Abstract: A method and system of dynamically adapting a streaming media content are provided. A user device determines a class of each member of its audience. Streaming media content is received. The streaming media content is monitored to dynamically determine a rating of each segment of the streaming media content. For each segment of the streaming media content, upon determining that a rating of a segment is above a class of a most restricted member of the audience, one or more portions of the segment are adapted to alter the rating of the segment to the class of the most restricted member of the audience. The segment of the media content is then presented on a user interface of the user device.

Abstract: Systems and methods are described for mapping input devices in real time. The method may include controlling a camera to capture a plurality of images, performing object recognition on the images to identify a plurality of objects, determining properties for each identified object that enable the corresponding object to provide spatial data and interaction data of a preferred input device, ranking the objects according to the determined properties, presenting the identified objects in an order corresponding to the rank that enables a user to select one of the presented objects, tracking the selected object and a human being, generating spatial data and interaction data from a result of the tracking, and providing the generated spatial data and interaction data to a computer to emulate the events of the preferred input device.

Abstract: A document may be received. An ontology associated with a domain may be identified or retrieved. A set of concepts in the document may be extracted, the set represented in the ontology. A set of concepts selected from the ontology may be received. A search may be performed based on the set of selected concepts.

Abstract: A system, method and program product for evaluating a prospect. The method includes: receiving prospect information regarding a prospect for natural resource exploration; extracting a set of characteristics based on the prospect information; identifying a set of similar prospects and a set of prospect exploration results, based on the set of characteristics; receiving a success estimate for the prospect; validating the success estimate based on the set of characteristics, the set of similar prospects, and the set of prospect exploration results to determine inconsistencies in the success estimate; and approving the success estimate or receiving an updated success estimate, based on the inconsistencies in the success estimate.

Abstract: A seismic dataset and a task to be performed with the seismic dataset may be received. A representative seismic line representative of the seismic dataset may be generated. The representative seismic line may include pixel data representative of the seismic dataset. Based on the representative seismic line, the task may be performed. The task may include at least finding an analogous geological region by searching for an analogous seismic dataset existing in a seismic database by comparing the representative seismic line with the analogous seismic dataset's representative seismic line.

Abstract: Automatically identifying speakers in real-time through media processing with dialog understanding. A plurality of audio streams may be received, an audio stream representing a speech of a participant speaking during an online meeting. A voice characteristic of a voice corresponding to the speech of the participant in the audio stream may be determined. The plurality of audio streams may be converted into text and a natural language processing may be performed to determine content context of the dialog. The natural language processing infers a name to associate with the voice in the audio stream based on the determined content context. A data structure linking the name with the voice may be created and stored in a knowledge base. A user interface associated with the online meeting application is triggered to present the name or identity of the speaker.

Abstract: A hybrid knowledge representation is searched for a machine learning component corresponding to a search query. The hybrid knowledge representation may be structured as nodes representing machine learning workflow components and edges (e.g., links) connecting the nodes based on relationships between the nodes. Responsive to finding the machine learning component in the hybrid knowledge representation, the machine learning component is returned. Responsive to not finding the machine learning component in the hybrid knowledge representation, the hybrid knowledge representation is searched for machine learning model fragments associated with building the machine learning component, generating a new machine learning component by combining the machine learning model fragments and returning the new machine learning component.

Abstract: Document retrieval through assertion analysis on entities and document fragments is disclosed. A document is received. Logical structures and entities are extracted from the document by parsing the document. For an entity in the extracted entities, an object representing the entity is created, an assertion made in the document associated with the entity is determined, and the assertion is linked to the object representing the entity. A logical structure from the extracted logical structures and content of the logical structure containing the assertion are identified and linked to the object representing the entity.

Abstract: Systems and methods are described for mapping input devices in real time. The method may include controlling a camera to capture a plurality of images, performing object recognition on the images to identify a plurality of objects, determining properties for each identified object that enable the corresponding object to provide spatial data and interaction data of a preferred input device, ranking the objects according to the determined properties, presenting the identified objects in an order corresponding to the rank that enables a user to select one of the presented objects, tracking the selected object and a human being, generating spatial data and interaction data from a result of the tracking, and providing the generated spatial data and interaction data to a computer to emulate the events of the preferred input device.

Abstract: A document editor user interface interacts with a user in receiving content from the user and provides suggestions determined via cognitive computing to the user while the user is authoring a document. A search engine searches for information associated with the content and returns the information. A matching candidate template that matches a style of the document being authored is searched for and may be inferred based on the document being authored. The suggestions may be provided based on definitions of the candidate template. A cognitive component may continuously detect behavior of the user while authoring the document and store information associated with the detected behavior. Additional suggestions may be provided based on the detected behavior.

Abstract: Geological risk assessment includes receiving a first set of geological factors associated with a first site. Data pertaining to at least one second site with a second set of geological factors similar to first set of geological factors of the first site is retrieved. A user input indicating a comparison of the first set of geological factors to the second set of geological factors received, and a level of knowledge of the first site is determined based upon the comparison. A suggested probability of success for the first site is determined based upon the level of knowledge. A probability of success is determined for each of the geological factors of the second set of geological factors. A probability of success for the first site is determined. The probability of success of the first site is assessed based upon the level of knowledge of the first site, the suggested probability of success for the first site, and the probability of success for each of the second set of geological factors.

Abstract: A document editor user interface interacts with a user in receiving content from the user and provides suggestions determined via cognitive computing to the user while the user is authoring a document. A search engine searches for information associated with the content and returns the information. A matching candidate template that matches a style of the document being authored is searched for and may be inferred based on the document being authored. The suggestions may be provided based on definitions of the candidate template. A cognitive component may continuously detect behavior of the user while authoring the document and store information associated with the detected behavior. Additional suggestions may be provided based on the detected behavior.

Abstract: Methods, systems, and computer program products for automatically creating narrative visualizations from audiovisual content according to pattern detection supported by cognitive computing techniques are provided herein.

Abstract: A method and system of dynamically adapting a streaming media content are provided. A user device determines a class of each member of its audience. Streaming media content is received. The streaming media content is monitored to dynamically determine a rating of each segment of the streaming media content. For each segment of the streaming media content, upon determining that a rating of a segment is above a class of a most restricted member of the audience, one or more portions of the segment are adapted to alter the rating of the segment to the class of the most restricted member of the audience. The segment of the media content is then presented on a user interface of the user device.

Abstract: A plurality of datasets may be received. Multiple instances of a machine learning algorithm may be run to create corresponding multiple machine learning models trained for a specific task in a given domain. Each of the multiple instances may use a different subset of the plurality of datasets in training the corresponding machine learning model. The multiple machine learning models may be run with input data. The multiple machine learning models produce corresponding multiple outcomes. A candidate machine learning model may be determined based on comparing each of the multiple outcomes with ground-truth output. A value associated with the different subset of the plurality of datasets may be determined based on comparing of each of the multiple outcomes with ground-truth output. A smart contract may be created which may include the value and the different subset of the plurality of datasets. The smart contract may be recorded in a blockchain.

Abstract: Automatically identifying speakers in real-time through media processing with dialog understanding. A plurality of audio streams may be received, an audio stream representing a speech of a participant speaking during an online meeting. A voice characteristic of a voice corresponding to the speech of the participant in the audio stream may be determined. The plurality of audio streams may be converted into text and a natural language processing may be performed to determine content context of the dialog. The natural language processing infers a name to associate with the voice in the audio stream based on the determined content context. A data structure linking the name with the voice may be created and stored in a knowledge base. A user interface associated with the online meeting application is triggered to present the name or identity of the speaker.

Abstract: A system, method and program product for implementing a sketch-based retrieval system. A system is disclosed that includes: an interface having a canvas for entering inputs including user generated strokes, and extracting features associated with the inputs; a hierarchy system for assigning an importance to the inputs; a matching system for retrieving matches from a database based on extracted features and importance associated with the extracted features; a feedback system that provides real-time feedback on the canvas to suggest improved inputs for the user; and a ranking system that ranks retrieved matches for output in the interface by incorporating user interaction history.

Abstract: A computer-implemented method includes a step of generating a clipped image by applying a display map to a feedback image of a plurality of display devices that display a set of training frames. The method also includes a step of learning a first set of rules that transform the clipped image to match the set of training frames and a step of generating a rendered surface by applying the display map to an input image. Additionally, the method includes a step of generating a set of render frames by applying the first set of rules to the rendered surface and a step of sending the set of render frames to be displayed by the plurality of display devices.

Abstract: A system, method and program product for implementing a sketch-based retrieval system. A system is disclosed that includes: an interface having a canvas for entering inputs including user generated strokes, and extracting features associated with the inputs; a hierarchy system for assigning an importance to the inputs; a matching system for retrieving matches from a database based on extracted features and importance associated with the extracted features; a feedback system that provides real-time feedback on the canvas to suggest improved inputs for the user; and a ranking system that ranks retrieved matches for output in the interface by incorporating user interaction history.